A Review of Ensemble Learning-Based Solutions for Phishing Website Detection
Journal: International Journal of Emerging Trends in Engineering Research (IJETER) (Vol.9, No. 10)Publication Date: 2021-09-14
Authors : Aditya Soni Jyoti Tiwari Ritambhara Patidar;
Page : 1332-1335
Keywords : Phishing; Phishing Websites; Detection; Ensemble Learning;
Abstract
Phishing is the deception of a trustworthy person in an electronic connection in order to obtain confidential information from individuals or organisations usernames, passwords, and credit card numbers are just a few examples. Phishers imitate legitimate websites by creating websites that are visually and semantically identical. As technology advances, phishing techniques have become more sophisticated, necessitating the use of antiphishing measures to detect phishing attacks. To solve the phishing attacks problems. We got the data for the Phishing website from the Kaggle open source website, which is a Google Limited Liability Company-owned online community of data scientists and machine learning experts ( LLC). We are using Ensemble learning to detecting website. We are also analize accurary. We compared the results of multiple machine learning methods for predicting phishing websites
Other Latest Articles
- Selection of Materials for Double Layer Antireflection Coating of Silicon Solar Cell
- Success Factors Affecting Public Projects of Construction Industry in Pakistan
- The Effect of User Experience on Designing Interactive Tool: A Case Study of Learning Images Compression
- Communication Modes Used for Information Sharing in Construction Projects of Pakistan
- Multiple Image Based Dual Steganography Using Arnold Transform and Block Code Encoding
Last modified: 2021-10-14 21:48:32